InfoQ Homepage NoSQL Content on InfoQ
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NoSQL at Twitter
Kevin Weil presents how Twitter does data analysis using Scribe for logging, base analysis with Pig/Hadoop, and specialized data analysis with HBase, Cassandra, and FlockDB.
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Yes, SQL!
Uri Cohen reviews SQL and distributed data stores, presenting how various API’s – memcached, SQL/JDBC, JPA - can be used to interact with such data stores, specifying what jobs they are best used for.
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HyperGraphDB - Data Management for Complex Systems
Borislav Iordanov presents the architecture of HyperGraphDB, a special type of store based on hypergraphs – graphs with edges pointing to an arbitrary number of nodes and to other edges.
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Abstractions at Scale–Our Experiences at Twitter
Marius Eriksen considers that leaky abstractions lead to scalability issues, while those providing narrow access to explicit resources - map-reduce, shared-nothing web apps, big table - scale better.
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The Evolution of the Flickr Architecture
Mikhail Panchenko discusses how Flickr’s code base developed over the years and the scalability problems that started to appear, presenting the the improvements and pros/cons of technologies used.
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Availability, the Cloud and Everything
Joe Williams discusses how distributed systems, cloud computing and configuration management affect system’s availability. He exemplifies with a database service built on CouchDB, Erlang, Chef, EC2.
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Adopting Apache Cassandra
Eben Hewitt introduces the Apache Cassandra project to those interested in getting a quick clear picture of what Cassandra is, what are its main features, what is the the data model used and the API.
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MongoDB @ SourceForge
Mark Ramm talks on why they chose MongoDB for SourceForge, how it compared to other possible solutions, the problems encountered, how they fixed them, overall lessons learned, and answering questions.
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Auntie on the Couch
Enda Farrell discusses how CouchDB is used by BBC, presenting the context, the operations performed against it, how replication and compacting works, some statistics, and how it is used at scale.
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Neo4j: NOSQL and the Benefits of Graph Databases
Emil Eifrem overviews the trends leading to NOSQL, and four emerging NOSQL solutions. He also explains the internals of a graph database and an example of using Neo4j – a graph DB - in production.
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Social Networks: Getting Distributed Web Services Done with NoSQL
Lars George and Fabrizio Schmidt present Germany’s largest social networks, Schuelervz, Studivz and Meinvz, the initial architecture, why it didn’t work and how they solved it with a NoSQL solution.
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Embracing Concurrency At Scale
Justin Sheehy explains the principles behind concurrent distributed systems: no global state, no ACID but rather BASE, no RPC but protocols over APIs, prepare for failure, degradation, measurement.
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